Instructions to use HogDadi/myface-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use HogDadi/myface-model with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("HogDadi/myface-model") prompt = "MFM as bikini model --d 12" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
MyFace_model
A Flux LoRA trained on a local computer with Fluxgym

- Prompt
- MFM as bikini model --d 12
Trigger words
You should use MFM to trigger the image generation.
Download model and use it with ComfyUI, AUTOMATIC1111, SD.Next, Invoke AI, Forge, etc.
Weights for this model are available in Safetensors format.
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Model tree for HogDadi/myface-model
Base model
black-forest-labs/FLUX.1-dev